Meilisearch

Meilisearch

Meilisearch is a lightning-fast, open-source search engine API that offers AI-powered hybrid search capabilities with features like typo tolerance, comprehensive language support, and intuitive search-as-you-type functionality.
https://meilisearch.com/?ref=producthunt
Meilisearch

Product Information

Updated:Oct 17, 2025

Meilisearch Monthly Traffic Trends

Meilisearch received 162.7k visits last month, demonstrating a Moderate Growth of 27%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history traffic

What is Meilisearch

Meilisearch is a flexible and powerful user-focused search engine platform built in Rust that can be integrated into any website or application. Founded in 2018 by Quentin de Quelen, Clement Renault, and Thomas Payet, Meilisearch provides a unified information retrieval platform that combines traditional search capabilities with modern AI features. It offers both self-hosted and cloud-hosted solutions through Meilisearch Cloud, making it accessible for developers of all scales. The platform stands out for its focus on developer experience and ease of use, requiring minimal configuration to get started.

Key Features of Meilisearch

Meilisearch is an open-source, powerful search engine that provides lightning-fast, AI-powered search capabilities with features like typo tolerance, faceted search, and semantic search. It offers both full-text and hybrid search options, along with advanced features such as geosearch, filtering, and vector storage, all while maintaining an intuitive API that makes it easy to integrate into any website or application.
AI-Powered Hybrid Search: Combines traditional full-text search with semantic understanding to deliver more relevant and contextual search results
Typo-Tolerant Search: Built-in fuzzy search capability that automatically handles typos and spelling mistakes without any configuration
Advanced Filtering and Faceting: Powerful toolkit for building complex search interfaces with customizable ranking rules and faceted search capabilities
Multi-Modal Search Support: Capability to search across different types of content including text, images, videos, and audio files

Use Cases of Meilisearch

E-commerce Platforms: Implement fast and relevant product search with filtering, faceting, and geolocation features to enhance shopping experience
Content Management Systems: Enable efficient search across various types of content with semantic understanding and typo tolerance
Mobile Applications: Integrate responsive search functionality with under 50ms response times for smooth user experience

Pros

Easy to integrate with intuitive RESTful API
Fast response times (under 50ms)
Extensive customization options for search relevance

Cons

Not suitable as a primary database
Requires commercial agreement for production use
Some advanced features like sharding are only available in Enterprise Edition

How to Use Meilisearch

Install Meilisearch: Download and install the latest version of Meilisearch locally or sign up for Meilisearch Cloud (14-day free trial available at cloud.meilisearch.com/register)
Launch Meilisearch Server: Launch Meilisearch by running the binary with a master key for security: ./meilisearch --master-key aSampleMasterKey
Install SDK: Install the Meilisearch SDK for your preferred programming language/framework using package manager (e.g. npm install meilisearch for JavaScript)
Initialize Client: Create a Meilisearch client by connecting to your instance with the endpoint URL and master key: const client = new MeiliSearch('http://localhost:7700', 'masterKey')
Create Index: Create an index to store your documents/data that you want to make searchable
Add Documents: Add documents to your index using the addDocuments method. Documents should be in JSON format with a unique identifier field
Configure Search Settings: Configure search settings like filterable attributes, ranking rules, and other customization options as needed for your use case
Perform Search: Use the search method on your index to perform searches. By default returns top 20 results but can be customized using parameters
Monitor Tasks: Use the tasks API to track the status of asynchronous operations like document indexing
Implement Frontend: Build your search interface using the SDK methods to connect to Meilisearch and display results to users

Meilisearch FAQs

Meilisearch is a flexible and powerful user-focused search engine that can be added to any website or application. It's an open-source AI search engine that provides lightning-fast search capabilities with AI-powered hybrid search features.

Analytics of Meilisearch Website

Meilisearch Traffic & Rankings
162.7K
Monthly Visits
#205544
Global Rank
#4801
Category Rank
Traffic Trends: Feb 2025-Jun 2025
Meilisearch User Insights
00:01:56
Avg. Visit Duration
3.49
Pages Per Visit
41.03%
User Bounce Rate
Top Regions of Meilisearch
  1. CN: 18.48%

  2. IN: 12%

  3. US: 5.23%

  4. FR: 5.04%

  5. VN: 3.55%

  6. Others: 55.71%

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